In this episode, Katherine Forrest and Scott Caravello break down three generative AI architectures—transformers, JEPA, and diffusion models—exploring what sets each apart and how they overlap. They also discuss Manifold-Constrained Hyper-Connections, a recent innovation aimed at improving how transformer layers communicate during training.

For the sources referenced in this episode, please see the links below:

DeepSeek AI: mHC: Manifold-Constrained Hyper Connections

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In this episode, Katherine Forrest and Scott Caravello revisit Claude Mythos Preview, unpacking Anthropic's limited rollout through Project Glasswing and its unprecedented cybersecurity capabilities.

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In this episode, Katherine Forrest and Scott Caravello examine OpenAI's latest paper suggesting proactive policy measures to help society navigate the economic and social changes that advanced AI may bring. They unpack the paper's key recommendations and consider broader industry perspectives on managing the transition ahead.

For the sources referenced in this episode, please see the links below:

OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First

Dario Amodei: The Adolescence of Technology

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In this episode, Katherine Forrest and Scott Caravello examine world models and their growing relevance to enterprise AI, drawing on a recent IBM blog post that highlights use cases ranging from infrastructure management to atmospheric prediction. They also review the details that have emerged from a recent leak about Anthropic's upcoming Mythos model, including its reported advances in cyber, coding, and reasoning benchmarks.

For the sources referenced in this episode, please see the links below:

IBM: https://www.ibm.com/think/news/world-models-next-frontier-enterprise-ai

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In this episode, Katherine Forrest and Scott Caravello reflect on recent developments in AI regulation from the past month, walking through the White House's newly released policy framework and Senator Marsha Blackburn's proposed AI bill. They consider the nuances of each, including comparing where the two approaches align—and also diverge—on issues like preemption, copyright, and child protection.

For the sources referenced in this episode, please see the below links:

The White House: A National Policy Framework for Artificial Intelligence

U.S. Senate – Office of Senator Marsha Blackburn: The Republic Unifying Meritocratic Performance Advancing Machine intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act

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In this episode, Katherine Forrest and Scott Caravello unpack how quantum computing could amplify AI's capabilities while transforming the data centers that power it, and why the road from research lab to real-world impact is both closer—and more complicated—than you might think.

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In this episode, Katherine Forrest and Scott Caravello dive into new research exploring what happens when helpful AI agents end up helping the wrong people. Our hosts break down two recent papers and discuss what each may mean for the future: "Agents of Chaos," which examines security vulnerabilities and unexpected behaviors in AI agents under social pressure, and "H-Neurons," which presents groundbreaking findings on specific neurons correlated with hallucinations in large language models.

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In this episode, Katherine Forrest and Scott Caravello examine two recent federal court decisions on whether AI-generated materials are protected by the attorney-client privilege and the work product doctrine. They break down those decisions, United States v. Heppner and Warner v. Gilbarco, explaining how and why the outcomes diverged, the different factual footings, and what these decisions may (or may not) mean for future disputes.

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In this episode, Katherine Forrest and Scott Caravello continue their conversation on Moltbook—this time with a special guest. John Carlin, Chair of the firm's Cybersecurity & Data Protection and National Security & CFIUS practice groups, joins for a closer look at the cybersecurity risks of the agentic social network. In their wide-ranging discussion, the trio covers a host of concerns, from exposed credentials to hypothetical botnet threats to issues stemming from Moltbook’s vibe-coded origins.

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In this episode, Katherine Forrest and Scott Caravello go inside the material world of digital minds. Our hosts explain how companies operate the massive data centers serving as the physical foundation for AI, break down the staggering energy demands behind them, and consider what powering the future might mean—by way of gigawatts and governance.

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